The Senior Data Scientist is a strategic leader in our organization, driving the entire lifecycle of data science initiatives that directly impact healthcare outcomes. Leveraging your deep expertise and mastery of machine learning, you will spearhead the development, implementation, and evaluation of complex AI models in healthcare settings. Your ability to translate technical concepts into actionable insights will empower stakeholders to make informed decisions that enhance patient care and operational efficiency. You will also play a crucial role in mentoring and developing junior data scientists, fostering a culture of data-driven innovation. Job Duties: Leads and manages the entire lifecycle of data science projects, from conceptualization and design to development, deployment, and ongoing optimization. Collaborates with cross-functional teams to define project scope, objectives, and success metrics. Ensures projects align with organizational goals and deliver measurable impact on healthcare outcomes. Leverages deep understanding of machine learning algorithms (decision trees, neural networks, graphical models, etc.) to build sophisticated predictive models for diverse healthcare applications. Utilizes clustering, dimension reduction, and deep generative models to uncover hidden patterns and insights within large, complex healthcare datasets. Applies rigorous validation techniques to ensure model accuracy, reliability, and fairness. Oversees the deployment of models into production environments, ensuring seamless integration with existing systems. Extracts insights from clinical and operational data sources (Epic Clarity, HL7, DICOM, and other enterprise data sources) to inform decision-making and guide project direction. Translates complex technical findings into compelling narratives that resonate with non-technical stakeholders. Facilitates data-driven decision-making by effectively communicating the value and impact of AI models. Mentors and guide junior data scientists, fostering their professional growth and technical expertise. Promotes a culture of collaboration, knowledge sharing, and continuous learning within the data science team. Contributes to developing best practices and standards for data science and machine learning within the organization. Stays abreast of the latest advancements in machine learning and healthcare research to identify opportunities for improvement and innovation. Experiments with new approaches and technologies to enhance model performance and expand the organization's data science capabilities.

By applying, you consent to your information being transmitted by Jobrapido to the Employer, as data controller, through the Employer’s data processor SonicJobs.
See Geisinger Terms & Conditions at https://www.geisinger.org/en/about-geisinger/Corporate/corporate-policies/terms-of-use and Privacy Policy at https://www.geisinger.org/en/about-geisinger/Corporate/corporate-policies/website-privacy-policy and SonicJobs Privacy Policy at https://www.sonicjobs.com/us/privacy-policy and Terms of Use at https://www.sonicjobs.com/us/terms-conditions